Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …

Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Neural networks based on memristive devices,–have the ability to improve throughput and
energy efficiency for machine learning, and artificial intelligence, especially in edge …

Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate
advanced electronic circuits is a major goal for the semiconductor industry,. However, most …

Neuromorphic computing based on emerging devices could overcome the von Neumann
bottleneck—the restriction created by having to transfer data between memory and …

Despite technical efforts and upgrades, advances in complementary metal–oxide–
semiconductor circuits have become unsustainable in the face of inherent silicon limits. New …

Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …

Graphene and two-dimensional materials (2DM) remain an active field of research in
science and engineering over 15 years after the first reports of 2DM. The vast amount of …

Abstract Two-dimensional (2D) materials could potentially be used to develop advanced
monolithic integrated circuits. However, despite impressive demonstrations of single devices …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …